Marten Transport (MRTN) Gains from Sales and Divestitures (2010 - 2026)
Marten Transport (MRTN) reported Gains from Sales and Divestitures of $1.67 million for Q2 2026, down 67.7% from $5.18 million a year earlier but up 17.8% from the prior quarter.
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Analysis
Marten Transport (MRTN) Gains from Sales and Divestitures (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Marten Transport's Gains from Sales and Divestitures came in at $8.31 million, up 2.4% year-over-year; for FY2025, it came in at $12.07 million, up 142.7% from FY2024.
- Gains from Sales and Divestitures has a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- By year, Gains from Sales and Divestitures came in at $4.97 million in FY2024 (-63.5%), $13.61 million in FY2023 (+1.7%), $13.38 million in FY2022 (-17.9%) and $16.3 million in FY2021 (+55.9%).
- Five-year quarterly Gains from Sales and Divestitures spans a low of $387,000 in Q4 2024 and a high of $5.25 million in Q1 2023.
- Year over year, Gains from Sales and Divestitures gained in four of the last eight quarters, with growth averaging 98.5%.
- The high point for year-over-year Gains from Sales and Divestitures in five years was Q4 2025 (growth of 757.1%); the low point was Q4 2024 (a decline of 78.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.42 million (Q1 2026), $3.32 million (Q4 2025) and $1.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 173.89 Bn | 166.14 Bn | - |
| 2 | Csx | 94.27 Bn | 89.49 Bn | - |
| 3 | United Parcel Service | 86.13 Bn | 63.03 Bn | - |
| 4 | Canadian Pacific Kansas City | 79.52 Bn | 78.54 Bn | - |
| 5 | Norfolk Southern | 74.18 Bn | 68.65 Bn | - |
| 6 | Fedex | 71.02 Bn | 36.96 Bn | - |
| 7 | Delta Air Lines | 50.26 Bn | 32.44 Bn | - |
| 8 | Old Dominion Freight Line | 38.08 Bn | 37.35 Bn | - |
| 9 | United Airlines Holdings | 31.84 Bn | -25.85 Bn | - |
| 10 | Marten Transport | 963.63 Mn | 697.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.67 Mn |
| Mar 31, 2026 | 1.42 Mn |
| Dec 31, 2025 | 3.32 Mn |
| Sep 30, 2025 | 1.90 Mn |
| Jun 30, 2025 | 5.18 Mn |
| Mar 31, 2025 | 1.67 Mn |
| Dec 31, 2024 | 387,000.00 |
| Sep 30, 2024 | 881,000.00 |
| Jun 30, 2024 | 2.53 Mn |
| Mar 31, 2024 | 1.17 Mn |
| Dec 31, 2023 | 1.80 Mn |
| Sep 30, 2023 | 3.01 Mn |
| Jun 30, 2023 | 3.55 Mn |
| Mar 31, 2023 | 5.25 Mn |
| Dec 31, 2022 | 2.96 Mn |
| Sep 30, 2022 | 1.07 Mn |
| Jun 30, 2022 | 4.81 Mn |
| Mar 31, 2022 | 4.54 Mn |
| Dec 31, 2021 | 4.44 Mn |
| Sep 30, 2021 | 4.54 Mn |
API Access
Marten Transport Gains from Sales and Divestitures API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=gains-from-sales-and-divestitures&ticker=MRTN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "ticker": "MRTN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=gains-from-sales-and-divestitures&ticker=MRTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();